{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2017:C34NZCR5K43BBPUXX74G2LJKZN","short_pith_number":"pith:C34NZCR5","canonical_record":{"source":{"id":"1711.08184","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2017-11-22T09:15:22Z","cross_cats_sorted":[],"title_canon_sha256":"4de7909ce4a244bfa25f501a6b42a0e220075a577943ae7f08d1a3cd68d86484","abstract_canon_sha256":"01dbb1930161012a929a5b91b98442d089af00906243e06835d3c2bbd3ab3bf1"},"schema_version":"1.0"},"canonical_sha256":"16f8dc8a3d573610be97bff86d2d2acb50226c4ad0796757276efcbb0768039d","source":{"kind":"arxiv","id":"1711.08184","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1711.08184","created_at":"2026-05-18T00:24:41Z"},{"alias_kind":"arxiv_version","alias_value":"1711.08184v2","created_at":"2026-05-18T00:24:41Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1711.08184","created_at":"2026-05-18T00:24:41Z"},{"alias_kind":"pith_short_12","alias_value":"C34NZCR5K43B","created_at":"2026-05-18T12:31:08Z"},{"alias_kind":"pith_short_16","alias_value":"C34NZCR5K43BBPUX","created_at":"2026-05-18T12:31:08Z"},{"alias_kind":"pith_short_8","alias_value":"C34NZCR5","created_at":"2026-05-18T12:31:08Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2017:C34NZCR5K43BBPUXX74G2LJKZN","target":"record","payload":{"canonical_record":{"source":{"id":"1711.08184","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2017-11-22T09:15:22Z","cross_cats_sorted":[],"title_canon_sha256":"4de7909ce4a244bfa25f501a6b42a0e220075a577943ae7f08d1a3cd68d86484","abstract_canon_sha256":"01dbb1930161012a929a5b91b98442d089af00906243e06835d3c2bbd3ab3bf1"},"schema_version":"1.0"},"canonical_sha256":"16f8dc8a3d573610be97bff86d2d2acb50226c4ad0796757276efcbb0768039d","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T00:24:41.985139Z","signature_b64":"B39eBBwEHtjFS1Vk53ljeqfqx52VRkmG3pqLsu2UFcytH7RhSjSG19fKVaK9R9wJvGQ3oIPcr2sKHr+tsMs/Aw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"16f8dc8a3d573610be97bff86d2d2acb50226c4ad0796757276efcbb0768039d","last_reissued_at":"2026-05-18T00:24:41.984338Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T00:24:41.984338Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1711.08184","source_version":2,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-05-18T00:24:41Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"fUaEgfDgqflCsT7FJcovND3TXZoCDTb2LjWOJbYubYT+W3BdQlUevkl1SO/OYT/tE3ifGeDGvqYJN1h3sTHXCA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-26T17:10:06.743618Z"},"content_sha256":"225426dcb44f21f126ab5c2f2fd8f9646029be500bbf0f573a4f6dcae5eb3c39","schema_version":"1.0","event_id":"sha256:225426dcb44f21f126ab5c2f2fd8f9646029be500bbf0f573a4f6dcae5eb3c39"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2017:C34NZCR5K43BBPUXX74G2LJKZN","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"AlignedReID: Surpassing Human-Level Performance in Person Re-Identification","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Chi Zhang, Hao Luo, Jian Sun, Qiqi Xiao, Wei Jiang, Weilai Xiang, Xing Fan, Xuan Zhang, Yixiao Sun","submitted_at":"2017-11-22T09:15:22Z","abstract_excerpt":"In this paper, we propose a novel method called AlignedReID that extracts a global feature which is jointly learned with local features. Global feature learning benefits greatly from local feature learning, which performs an alignment/matching by calculating the shortest path between two sets of local features, without requiring extra supervision. After the joint learning, we only keep the global feature to compute the similarities between images. Our method achieves rank-1 accuracy of 94.4% on Market1501 and 97.8% on CUHK03, outperforming state-of-the-art methods by a large margin. We also ev"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1711.08184","kind":"arxiv","version":2},"verdict":{"id":null,"model_set":{},"created_at":null,"strongest_claim":"","one_line_summary":"","pipeline_version":null,"weakest_assumption":"","pith_extraction_headline":""},"references":{"count":0,"sample":[],"resolved_work":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57","internal_anchors":0},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"author_claims":{"count":0,"strong_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"builder_version":"pith-number-builder-2026-05-17-v1"},"verdict_id":null},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-05-18T00:24:41Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"MyJ5T0e2hiUgART/7WqqOJYBPDpO4zY9Nyr1gp83IctXOscVeutNMJkv6z4drMRPNXdt7wHgGOk+A9hjvTt3Ag==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-26T17:10:06.743948Z"},"content_sha256":"1ec924544c3aa0c3c8a123942f0f51d9a5350db7572a05e4d7d0c51777d6ac4b","schema_version":"1.0","event_id":"sha256:1ec924544c3aa0c3c8a123942f0f51d9a5350db7572a05e4d7d0c51777d6ac4b"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/C34NZCR5K43BBPUXX74G2LJKZN/bundle.json","state_url":"https://pith.science/pith/C34NZCR5K43BBPUXX74G2LJKZN/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/C34NZCR5K43BBPUXX74G2LJKZN/bundle.json","status":"primary"}],"public_keys":[{"key_id":"pith-v1-2026-05","algorithm":"ed25519","format":"raw","public_key_b64":"stVStoiQhXFxp4s2pdzPNoqVNBMojDU/fJ2db5S3CbM=","public_key_hex":"b2d552b68890857171a78b36a5dccf368a953413288c353f7c9d9d6f94b709b3","fingerprint_sha256_b32_first128bits":"RVFV5Z2OI2J3ZUO7ERDEBCYNKS","fingerprint_sha256_hex":"8d4b5ee74e4693bcd1df2446408b0d54","rotates_at":null,"url":"https://pith.science/pith-signing-key.json","notes":"Pith uses this Ed25519 key to sign canonical record SHA-256 digests. Verify with: ed25519_verify(public_key, message=canonical_sha256_bytes, signature=base64decode(signature_b64))."}],"merge_version":"pith-open-graph-merge-v1","built_at":"2026-06-26T17:10:06Z","links":{"resolver":"https://pith.science/pith/C34NZCR5K43BBPUXX74G2LJKZN","bundle":"https://pith.science/pith/C34NZCR5K43BBPUXX74G2LJKZN/bundle.json","state":"https://pith.science/pith/C34NZCR5K43BBPUXX74G2LJKZN/state.json","well_known_bundle":"https://pith.science/.well-known/pith/C34NZCR5K43BBPUXX74G2LJKZN/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2017:C34NZCR5K43BBPUXX74G2LJKZN","merge_version":"pith-open-graph-merge-v1","event_count":2,"valid_event_count":2,"invalid_event_count":0,"equivocation_count":0,"current":{"canonical_record":{"metadata":{"abstract_canon_sha256":"01dbb1930161012a929a5b91b98442d089af00906243e06835d3c2bbd3ab3bf1","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2017-11-22T09:15:22Z","title_canon_sha256":"4de7909ce4a244bfa25f501a6b42a0e220075a577943ae7f08d1a3cd68d86484"},"schema_version":"1.0","source":{"id":"1711.08184","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1711.08184","created_at":"2026-05-18T00:24:41Z"},{"alias_kind":"arxiv_version","alias_value":"1711.08184v2","created_at":"2026-05-18T00:24:41Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1711.08184","created_at":"2026-05-18T00:24:41Z"},{"alias_kind":"pith_short_12","alias_value":"C34NZCR5K43B","created_at":"2026-05-18T12:31:08Z"},{"alias_kind":"pith_short_16","alias_value":"C34NZCR5K43BBPUX","created_at":"2026-05-18T12:31:08Z"},{"alias_kind":"pith_short_8","alias_value":"C34NZCR5","created_at":"2026-05-18T12:31:08Z"}],"graph_snapshots":[{"event_id":"sha256:1ec924544c3aa0c3c8a123942f0f51d9a5350db7572a05e4d7d0c51777d6ac4b","target":"graph","created_at":"2026-05-18T00:24:41Z","signer":{"key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signer_id":"pith.science","signer_type":"pith_registry"},"payload":{"graph_snapshot":{"author_claims":{"count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57","strong_count":0},"builder_version":"pith-number-builder-2026-05-17-v1","claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"paper":{"abstract_excerpt":"In this paper, we propose a novel method called AlignedReID that extracts a global feature which is jointly learned with local features. Global feature learning benefits greatly from local feature learning, which performs an alignment/matching by calculating the shortest path between two sets of local features, without requiring extra supervision. After the joint learning, we only keep the global feature to compute the similarities between images. Our method achieves rank-1 accuracy of 94.4% on Market1501 and 97.8% on CUHK03, outperforming state-of-the-art methods by a large margin. We also ev","authors_text":"Chi Zhang, Hao Luo, Jian Sun, Qiqi Xiao, Wei Jiang, Weilai Xiang, Xing Fan, Xuan Zhang, Yixiao Sun","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2017-11-22T09:15:22Z","title":"AlignedReID: Surpassing Human-Level Performance in Person Re-Identification"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1711.08184","kind":"arxiv","version":2},"verdict":{"created_at":null,"id":null,"model_set":{},"one_line_summary":"","pipeline_version":null,"pith_extraction_headline":"","strongest_claim":"","weakest_assumption":""}},"verdict_id":null}}],"author_attestations":[],"timestamp_anchors":[],"storage_attestations":[],"citation_signatures":[],"replication_records":[],"corrections":[],"mirror_hints":[],"record_created":{"event_id":"sha256:225426dcb44f21f126ab5c2f2fd8f9646029be500bbf0f573a4f6dcae5eb3c39","target":"record","created_at":"2026-05-18T00:24:41Z","signer":{"key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signer_id":"pith.science","signer_type":"pith_registry"},"payload":{"attestation_state":"computed","canonical_record":{"metadata":{"abstract_canon_sha256":"01dbb1930161012a929a5b91b98442d089af00906243e06835d3c2bbd3ab3bf1","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2017-11-22T09:15:22Z","title_canon_sha256":"4de7909ce4a244bfa25f501a6b42a0e220075a577943ae7f08d1a3cd68d86484"},"schema_version":"1.0","source":{"id":"1711.08184","kind":"arxiv","version":2}},"canonical_sha256":"16f8dc8a3d573610be97bff86d2d2acb50226c4ad0796757276efcbb0768039d","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"16f8dc8a3d573610be97bff86d2d2acb50226c4ad0796757276efcbb0768039d","first_computed_at":"2026-05-18T00:24:41.984338Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T00:24:41.984338Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"B39eBBwEHtjFS1Vk53ljeqfqx52VRkmG3pqLsu2UFcytH7RhSjSG19fKVaK9R9wJvGQ3oIPcr2sKHr+tsMs/Aw==","signature_status":"signed_v1","signed_at":"2026-05-18T00:24:41.985139Z","signed_message":"canonical_sha256_bytes"},"source_id":"1711.08184","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:225426dcb44f21f126ab5c2f2fd8f9646029be500bbf0f573a4f6dcae5eb3c39","sha256:1ec924544c3aa0c3c8a123942f0f51d9a5350db7572a05e4d7d0c51777d6ac4b"],"state_sha256":"176d1acf85f5a45c6bde6df0e4a9115350b5ac31dde9ea18f92a8ad5b29f3a7d"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"1kR1lJDYf5AQFjY+txKL4JTgN8lOJ7lZVCI9peLipF9FCLe/slLDtKnHYZUixJb81BfH5L+Vp6O++ZxETV3wCA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-06-26T17:10:06.746589Z","bundle_sha256":"7a4d55b6d18ef9cef848eab9758ee2f7556ec045abff946329c966e8d7349c1e"}}